Cited by 105Electronic Health Records SystemsArtificial Intelligence in Healthcare and EducationTechnology and Human Factors in Education and Health

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Investigating the Heart Pump Implant Decision Process: Opportunities for Decision Support Tools to Help

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Yang, Qian, Zimmerman, John, Steinfeld, Aaron, Carey, Lisa, Antaki, James F.·2016·Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems

DOI 10.1145/2858036.2858373PMC PMC5101017

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Abstract

Clinical decision support tools (DSTs) are computational systems that aid healthcare decision-making. While effective in labs, almost all these systems failed when they moved into clinical practice. Healthcare researchers speculated it is most likely due to a lack of user-centered HCI considerations in the design of these systems. This paper describes a field study investigating how clinicians make a heart pump implant decision with a focus on how to best integrate an intelligent DST into their work process. Our findings reveal a lack of perceived need for and trust of machine intelligence, as well as many barriers to computer use at the point of clinical decision-making. These findings suggest an alternative perspective to the traditional use models, in which clinicians engage with DSTs at the point of making a decision. We identify situations across patients' healthcare trajectories when decision supports would help, and we discuss new forms it might take in these situations.

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10.1037/0022-3514.71.2.315 · DOI
Qian Yang , John Zimmerman , and Aaron Steinfeld . 2015 . Review of Medical Decision Support Tools : Emerging Opportunity for Interaction Design . In IASDR 2015 Interplay Proceedings. Qian Yang, John Zimmerman, and Aaron Steinfeld. 2015. Review of Medical Decision Support Tools : Emerging Opportunity for Interaction Design. In IASDR 2015 Interplay Proceedings.

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Authors: Yang, Q., Zimmerman, J., Steinfeld, A., Carey, L., & Antaki, J. F.
Affiliations: Carnegie Mellon University (US)
University of Pittsburgh (US)
ORCID: Yang, Qian
Zimmerman, John
Steinfeld, Aaron
Antaki, James F.
Venue: Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems
Publisher: ACM
Published: 2016-05-07
Volume: 2016
Pages: 4477-4488
DOI: 10.1145/2858036.2858373
PMC: PMC5101017
OpenAlex: W2397156396
Cited by: 105
References: 50
Citations by year: 2026: 5 · 2025: 12 · 2024: 12 · 2023: 20 · 2022: 15 · 2021: 10 · 2020: 7 · 2019: 11 · 2018: 9 · 2017: 4
FWCI: 11.12
Type: conference paper
Language: en
Open access: green
www.ncbi.nlm.nih.gov
Licence: www.acm.org/publications/policies/copyright_policy#Background (vor)
Locations: CHI Conference on Human Factors in Computing Systems (publishedVersion)
PubMed (publishedVersion)
PubMed Central (acceptedVersion)
Funders: NIH National Heart Lung and Blood Institute (NHLBI) (1R01HL122639-01A1)
Topics: Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Technology and Human Factors in Education and Health
Keywords: clinical decision support systems, clinical decision-making, user-centered design, human-computer interaction in healthcare, barriers to computer use, clinical workflow integration, care pathways

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Investigating the Heart Pump Implant Decision Process: Opportunities for Decision Support Tools to Help

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